Incomplete Information System and Rough Set Theory
Subtitle: Models and Attribute Reductions
By: by Xibei Yang, Jingyu Yang
Contributors: Yang, Jingyu; SpringerLink (Online service)
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2012
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 232
ISBN-13: 9783642259357
Subjects: Mathematical Logic and Formal Languages; Models and Principles; Data Mining and Knowledge Discovery; Database management; Computer science; Data mining; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: <p>"Incomplete Information System and Rough Set Theory: Models and Attribute Reductions" covers theoretical study of generalizations of rough set model in various incomplete information systems. It discusses not only the regular attributes but also the criteria in the incomplete information systems. Based on different types of rough set models, the book presents the practical approaches to compute several reducts in terms of these models. The book is intended for researchers and postgraduate students in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, and granular computing. </p><p>Dr. Xibei Yang is a lecturer at the School of Computer Science and Engineering, Jiangsu University of Science and Technology, China; Jingyu Yang is a professor at the School of Computer Science, Nanjing University of Science and Technology, China.</p>
Table of contents: title: Part 1 Rough Sets in Complete Information System; title: Indiscernibility Relation Based Rough Sets; title: Dominance-based Rough Set Approach; title: Part 2 Incomplete Information System with Unknown Values; title: Generalized Binary Relations Based Rough sets; title: Neighborhood Systems and Rough Sets; title: Dominance-based Rough Set in incomplete system with “do not care” unknown values; title: Dominance-based Rough Set in incomplete system with lost unknown values; title: Rough Sets in Generalized Incomplete Information System; title: Part 3 Set-valued And Interval-valued Information Systems; title: Rough Sets And Dominance-based Rough Sets in Set-valued Information System; title: Rough Sets And Dominance-based Rough Sets in Interval-valued Information System.